Project Development and Analysis in Emerging Technologies - Custom Essay Writing Services for Students Worldwide

Assessment Brief- Assessment 2

Unit Code/Description	ICT305 – Topics in IT
Course/Subject	BIT
Semester	2024- S1
Unit Learning Outcomes Addressed	ULO 1, 2, and 3.
Assessment Objective	The primary objective of this assessment is to provide students with hands-on experience in designing, implementing, and analysing a project in one of the emerging technology fields: Internet of Things (IoT), Machine Learning, Cybersecurity, Cloud Computing, or Blockchain.
Assessment Title/Type	Individual Report
Due Date	The report should be submitted online in Moodle by each student of week 8.
Weighting	30%
Instructions to Students	Check section Assessment Description
Format/Structure	The report must be a word document
Word/Page limit	Total word count will be 2000 words in length excluding abstract, table of contents, references, tables, and figures.
Referencing Style	American Psychological Association (APA) Referencing Style/IEEE Referencing Style Sheet
Submission Guidelines	Your name and student ID must appear at the beginning of your report. This assessment must be submitted to Turnitin. Login to your Turnitin account, locate and click on the assignment submission link, carefully review the instructions, and then submit your assessment.
Plagiarism and Academic Integrity	At CIHE, we take academic integrity seriously and expect all students to maintain the highest standards of honesty and ethical behaviour in their academic work. As a student, it is your responsibility to ensure that all your academic endeavours are conducted with integrity and in accordance with the principles of honesty, fairness, and respect for intellectual property. Please refer to “CIHE Student Academic Integrity and Honesty Policy” in the Moodle for details.
Late Submission Policy	Requests for extensions will be granted only for exceptional circumstances that are supported by credible evidence. Duration of the extension period is only one week. Late submissions are subject to 10% reduction in marks for each day of delay. Submissions after the extended date will not be marked.

Assessment Title: Project Development and Analysis in Emerging Technologies

Assessment Overview

In this assessment, students are required to choose a project from one of the following fields: Internet of Things (IoT), Machine Learning, Cybersecurity, Cloud Computing, or Blockchain. Students will implement their chosen project, analyse the results, and compile a comprehensive report. The report must include an abstract, introduction, methodology (including design, database design if applicable, dataset description, model description, and diagrams), tools required, implementation, result analysis, conclusion, and references.

Report Structure

Abstract
- Provide a concise summary of the project, including the main objectives, methods, and key findings.
Introduction
- Introduce the project topic, its significance, and the problem it aims to solve.
Methodology
- Design: Outline the design of the project, including architecture and key components.
- Database Design (if applicable): Describe the database structure and how it supports the project.
- Dataset Description (for Machine Learning projects): Provide details about the dataset used, including its source, structure, and any preprocessing steps.
- Model Description (for Machine Learning projects): Explain the machine learning model used, including its architecture and parameters. Include diagrams if applicable.
- System Design and Description (for IoT or Cloud projects): Provide a detailed description of the system, including diagrams to illustrate the setup and flow.
Tools Required
- List and describe the tools and technologies used to implement the project.
Implementation
- Detail the steps taken to implement the project, including code snippets, configurations, and setup procedures.
Result Analysis
- Analyse the results of the project, discussing the outcomes, any challenges faced, and how they were addressed.
Conclusion
- Summarize the key findings and implications of the project. Discuss any potential future work or improvements.
References
- List all the sources and references used in the preparation and implementation of the project.

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